In　this　paper,　a　novel　glasses-face　recognition　approach,　eyeglasses　eigenfaces,　is　proposed　to　recognize　glassesface,　which　treats　eyeglasses　as　a　feature　of　facial　image.　It　overcomes　the　choke　point　of　removing　eyeglasses　which　used　in　previous　glasses-face　recognition　methods.　Considering　the　instability　of　eyeglasses　as　a　facial　feature,　here　we　make　use　of　3D　face　synthesis　method　based　on　genetic　algorithm　to　reconstruct　virtual　samples,　enrich　the　sample　library.　It　not　only　can　be　used　in　different　pose,　illumination　and　expression,　but　also　provide　a　new　thought-way　for　occlusion　problem　in　face　recognition.　On　CAS-PEAL　face　databases,　our　experimental　results　demonstrate　that　eyeglasses　eigenfaces　perform　well.